Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ying-lin Yu"'
Autor:
Yuan Tan, Ying-Shi Zou, Ying-Lin Yu, Le-Yi Hu, Ting Zhang, Hui Chen, Ling Jin, Duo-Ru Lin, Yi-Zhi Liu, Hao-Tian Lin, Zhen-Zhen Liu
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 3, Pp 473-479 (2024)
AIM: To establish a classification for congenital cataracts that can facilitate individualized treatment and help identify individuals with a high likelihood of different visual outcomes. METHODS: Consecutive patients diagnosed with congenital catara
Externí odkaz:
https://doaj.org/article/62ee7c7b8ac142d6b0f7b46dca49ebf4
Autor:
Shao‐fen Huang, Ying‐lin Yu, Yun‐feng Cui, Yan‐mei Lou, Min‐qi Liao, Chang‐yi Wang, Shan Xu, Hong‐en Chen, Xu‐ping Gao, Shu‐hong Dai, Xiao‐lin Peng, Dan Zhao, Li Wang, Zhao Ping, Fang‐fang Zeng
Publikováno v:
Journal of Diabetes Investigation, Vol 12, Iss 9, Pp 1560-1568 (2021)
Abstract Aims/Introduction The current literature suggests that men with diabetes have a lower prostate‐specific antigen concentration than men without diabetes, but the causal association remains unclear. We aimed to investigate the association be
Externí odkaz:
https://doaj.org/article/f3dc6f51d7704f5ea6cf319e72d03f19
Autor:
Ying-lin Yu, Jun-rong Ma, Shu-na Li, Min-qi Liao, Shan Xu, Hong-en Chen, Shu-hong Dai, Xiao-lin Peng, Dan Zhao, Yan-mei Lou, Xiao-xuan Yu, Xu-ping Gao, Yan-hua Liu, Jun Liu, Xing-yao Ke, Zhao Ping, Li Wang, Chang-yi Wang, Fang-fang Zeng
Publikováno v:
Angiology. 74:129-138
The present study investigated the association between the presence of periodontitis and aortic calcification (AC) risk among Chinese adults. A total of 6059 individuals who underwent regular health check-ups and received a diagnosis of periodontitis
Publikováno v:
ICIP (2)
Scopus-Elsevier
Scopus-Elsevier
A new wavelet video compression scheme using adaptive fractal coding is presented in this paper. Through pyramidal wavelet transform, each video frame is decomposed into multiresolution subbands and then organized into a set of wavelet subtrees to re
Autor:
Ying-Lin Yu, Wei-Ning Wang
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
Describing images in semantic terms is an important and challenging problem in content-based image retrieval. According to the strong relationship between colors and human emotions, an emotional semantic query model based on image color semantic desc
Publikováno v:
ICIP (3)
This article introduces a new image quality assessment: QNIF (quality assessment based on noise influencing force). Considering uneven property of noise distribution, we put forward the concept of noise influencing significance area. Analyzing noise
Publikováno v:
Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94.
This paper presents a algorithm for identification of linear time-invariant nonminimum phase system from only the output data The input is independent identically distributed (i.i.d) non-Gaussian white noise and is unavailable. This approach is based
Publikováno v:
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
In this paper, the commonly used affine transformation (AT) in fractal coding technique is incorporated into image vector quantizer (VQ). Two new improved VQ coding schemes based on AT are investigated in detail without modifying the existing codeboo
Autor:
Ying-Lin Yu, Zhe Wang
Publikováno v:
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
Evolution strategies (ESs) are global optimization models in the light of natural evolution. Using relaxation evolution strategy, a novel method for restoration of gray level images blurred by a known shift-invariant point spread function and corrupt
Publikováno v:
ICNN
Estimation theory for the number of the hidden units in the higher-order feedforward neural network has been investigated in this paper and the authors have demonstrated that: for an arbitrary function Y defined on the set S/spl sub/R/sup d/ with (m+